Events for the 1st week of March
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Chia Wei Hsu, Monday, February 26th at 12:00pm noon in EEB 132
Mon, Feb 26, 2018 @ 12:00 PM - 01:30 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Chia Wei Hsu, Department of Applied Physics, Yal University
Talk Title: New Frontiers of Electromagnetic Phenomena at the Nanoscale
Abstract: Optics and photonics today enjoy unprecedented freedom. The ability to synthesize arbitrary light fields (through wavefront shaping) and the ability to design structures at the subwavelength scale (through nanofabrication) enable us to realize exciting new phenomena that were not accessible in the past. In this talk, I will present several such experiments and related theory.
It is commonly thought that waves cannot be perfectly confined within the continuum spectrum of an open system. I will describe the first realization of "bound states in the continuum" that defy such conventional textbook wisdom [1] as well as their underlying topological nature [2]. This new way to confine light enables novel lasers, filters, and sensors [3].
I will show that by tailoring the radiation of optical modes, we can realize non-Hermitian photonic band structures with no counterpart in closed Hermitian systems, such as rings of exceptional points [4] and pairs of exceptional points connected by bulk Fermi arcs [5].
By designing light fields, we can control wave transport even through unknown disordered structures. I will show that the multiple scattering of light leads to correlations between far-away photons [6] and that using such correlations, we can simultaneously control orders of magnitudes more degrees of freedom than what was previously thought to be possible [7].
I will conclude with my visions for new opportunities enabled by designed light fields and optical structures, including new paradigms for imaging and optical computing that have the potential to go beyond the current state of the art by orders of magnitude.
[1] C. W. Hsu*, B. Zhen* et al., Nature 499, 188 (2013).
[2] B. Zhen*, C. W. Hsu* et al., Phys. Rev. Lett. 113, 257401 (2014).
[3] C. W. Hsu*, B. Zhen* et al., Nature Reviews Materials 1, 16048 (2016).
[4] B. Zhen*, C. W. Hsu* et al., Nature 525, 354 (2015).
[5] H. Zhou et al., Science, eaap9859 (2018).
[6] C. W. Hsu et al., Phys. Rev. Lett. 115, 223901 (2015).
[7] C. W. Hsu et al., Nature Physics 13, 497 (2017).
Biography: Wade is a postdoc at Yale applied physics. He received his PhD in physics from Harvard in 2015 and BS in physics with high honors from Wesleyan in 2010. His research centers around controlling light in nanoscale structures and complex systems, through a combination of experiment and theory. He is the co-author of 32 peer-reviewed journal articles and the co-inventor of 3 patents, and has delivered over a dozen invited talks internationally. He won the LeRoy Apker Award given by the American Physical Society and was a finalist for the Blavatnik Regional Award for Young Scientists.
Host: EE-Electrophysics
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 132
Audiences: Everyone Is Invited
Contact: Marilyn Poplawski
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Center for Systems and Control (CSC@USC) and Ming Hsieh Institute for Electrical Engineering
Mon, Feb 26, 2018 @ 02:00 PM - 03:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Frank Doyle, Harvard University
Talk Title: Controlling the Artificial Pancreas
Abstract: Type 1 diabetes mellitus (T1DM) is a chronic autoimmune disease affecting approximately 35 million individuals world-wide, with associated annual healthcare costs in the US estimated to be approximately $15 billion. Current treatment requires either multiple daily insulin injections or continuous subcutaneous (SC) insulin infusion (CSII) delivered via an insulin infusion pump. Both treatment modes necessitate frequent blood glucose measurements to determine the daily insulin requirements for maintaining near-normal blood glucose levels.
More than 30 years ago, the idea of an artificial endocrine pancreas for patients with type 1 diabetes mellitus (T1DM) was envisioned. The closed-loop concept consisted of an insulin syringe, a blood glucose analyzer, and a transmitter. In the ensuing years, a number of theoretical research studies were performed with numerical simulations to demonstrate the relevance of advanced process control design to the artificial pancreas, with delivery algorithms ranging from simple PID, to fuzzy logic, to H-infinity, to model predictive control. With the advent of continuous glucose sensing, which reports interstitial glucose concentrations approximately every minute, and the development of hardware and algorithms to communicate with and control insulin pumps, the vision of closed-loop control of blood glucose is approaching a reality.
In the last 15 years, our research group has been working with medical doctors on clinical demonstrations of feedback control algorithms for the artificial pancreas. In this talk, I will outline the difficulties inherent in controlling physiological variables, the challenges with regulatory approval of such devices, and will describe a number of process systems engineering algorithms we have tested in clinical experiments for the artificial pancreas.
Biography: Frank Doyle is the John A. Paulson Dean of the Paulson School of Engineering and Applied Sciences at Harvard University, where he also is the John A. & Elizabeth S. Armstrong Professor. Prior to that he was the Mellichamp Professor at UC Santa Barbara, where he was the Chair of the Department of Chemical Engineering, the Director of the UCSB/MIT/Caltech Institute for Collaborative Biotechnologies, and the Associate Dean for Research in the College of Engineering. He received a B.S.E. degree from Princeton, C.P.G.S. from Cambridge, and Ph.D. from Caltech, all in Chemical Engineering. He has also held faculty appointments at Purdue University and the University of Delaware, and held visiting positions at DuPont, Weyerhaeuser, and Stuttgart University. He has been recognized as a Fellow of multiple professional organizations including: IEEE, IFAC, AIMBE, and the AAAS. He was the President for the IEEE Control Systems Society in 2015, and is the Vice President of the International Federation of Automatic Control. In 2005, he was awarded the Computing in Chemical Engineering Award from the AIChE for his innovative work in systems biology, and in 2015 received the Control Engineering Practice Award from the American Automatic Control Council for his development of the artificial pancreas. In 2016, he was inducted as a Fellow into the National Academy of Medicine for his work on biomedical control. His research interests are in systems biology, network science, modeling and analysis of circadian rhythms, and drug delivery for diabetes.
Host: Mihailo Jovanovic, mihailo@usc.edu
More Information: Doyle.png
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 132
Audiences: Everyone Is Invited
Contact: Gerrielyn Ramos
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Center for Systems and Control (CSC@USC) and Ming Hsieh Institute for Electrical Engineering
Wed, Feb 28, 2018 @ 02:00 PM - 03:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Magnus Egerstedt, Georgia Institute of Technology
Talk Title: Long-range autonomy and constraint-based coordination of multi-robot systems
Abstract: By now, we have a fairly good understanding of how to design coordinated control strategies for making teams of mobile robots achieve geometric objectives in a distributed manner, such as assembling shapes or covering areas. But, the mapping from high-level tasks to geometric objectives is not particularly well understood. In this talk, we investigate this topic in the context of long-range autonomy, i.e., we consider teams of robots, deployed in an environment over a sustained period of time, that can be recruited to perform a number of different tasks in a distributed, safe, and provably correct manner. This development will involve the composition of multiple barrier certificates for encoding the tasks and safety constraints, as well as a detour into ecology as a way of understanding how persistent environmental monitoring, as a special instantiation of the long-range autonomy concept, can be achieved by studying animals with low-energy life-styles, such as the three-toed sloth.
Biography: Magnus Egerstedt is the Executive Director for the Institute for Robotics and Intelligent Machines at the Georgia Institute of Technology and a Professor and the Julian T. Hightower Chair in Systems and Controls in the School of Electrical and Computer Engineering. He received the M.S. degree in Engineering Physics and the Ph.D. degree in Applied Mathematics from the Royal Institute of Technology, Stockholm, Sweden, the B.A. degree in Philosophy from Stockholm University, and was a Postdoctoral Scholar at Harvard University. Dr. Egerstedt is a Fellow of the IEEE and a recipient of a number of research and teaching awards, including the Ragazzini Award from the American Automatic Control Council.
Host: Mihailo Jovanovic, mihailo@usc.edu
More Information: egerstedt.jpg (JPEG Image, 623 × 779 pixels).pdf
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 132
Audiences: Everyone Is Invited
Contact: Gerrielyn Ramos
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Borrowing from Nature to Build Better Computers: DNA Data Storage and Near-Molecule Processing
Fri, Mar 02, 2018 @ 10:30 AM - 11:30 AM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Luis Ceze, University of Washington
Talk Title: Borrowing from Nature to Build Better Computers: DNA Data Storage and Near-Molecule Processing
Abstract: DNA data storage is an attractive option for digital datastorage because of its extreme density, durability and eternal relevance. This is especially attractive when contrasted with the exponential growth in world-wide digital data production. In this talk, we will present our efforts in building an end-to-end system, from the computational component of encoding and decoding to the molecular biology component of random access, sequencing and fluidics automation. We will also discuss some early efforts in building a hybrid electronic/molecular computer system that has the potential to offer more than just data storage.
Biography: Luis Ceze is a Professor of Computer Science and Engineering at the University of Washington. His research focuses on the intersection between computer architecture, programming languages and biology. His current focus is on approximate computing and DNA-based data storage. He has co-authored over 100 papers in these areas, and had several papers selected as IEEE Micro Top Picks and CACM Research Highlights. His research has been featured prominently in the media including NewYork Times, Popular Science, MIT Technology Review, Wall Street Journal, among others. He is a recipient of an NSF CAREER Award, a Sloan Research Fellowship, a Microsoft Research Faculty Fellowship,the IEEE TCCA Young Computer Architect Award and UIUC Distinguished Alumni Award. He is a member of the DARPA ISAT and MEC study groups, and consults for Microsoft.
Host: Xuehai Qian, x04459, xuehai.qian@usc.edu
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 132
Audiences: Everyone Is Invited
Contact: Gerrielyn Ramos
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EE-EP Faculty Candidate - Deblina Sarkar, Friday, March 2nd at 2pm in EEB 132
Fri, Mar 02, 2018 @ 02:00 PM - 03:30 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Deblina Sarkar, MIT
Talk Title: Green Electronics to Gray Matter: Ghost Walks, Mind Blowing and Brain Doping
Abstract: Excessive power consumption and dissipation of electronics with technology scaling, is a serious threat to the Information Society as well as to the environment and especially smacks a hard blow to the future of energy-constrained applications such as medical implants and prosthetics. This impending energy crisis has roots in the thermal distribution of carriers, which poses fundamental limitation on energy scalability of the present transistors.
In this talk, I will demonstrate the quantum mechanical transistor, that I developed, which beats the fundamental thermal limitations of present transistors. I will describe how this can be achieved by unique integration of heterogeneous material technologies including an atomically thin material, to make the electron waves propagate (tunnel) efficiently through an energy barrier (like a ghost walking through a wall). This device is the world's thinnest channel (6 atoms thick) sub-thermal tunnel-transistor. Thus, it has the potential to allow dimensional scalability to beyond Silicon scaling era and thereby to address the long-standing issue of simultaneous dimensional and power scalability.
Going beyond electronic computation, I will discuss about the biological computer: the brain, which can be thought of as an ultimate example of low power computational system. However, understanding the brain, requires deciphering the dense jungle of biomolecules that it is formed of. I will introduce the next-generation expansion microscopy technology, that I have developed, which helps to decipher the organization of biomolecular building blocks of brain by literally blowing out the brain by up to 100-fold. This technology reveals for the first time, a nanoscale trans-synaptic architecture in brain tissue and structural changes related to neurological diseases.
I will conclude with my research vision for how extremely powerful technologies can be built by fusing diverse research fields and how seamless integration of nanoelectronics-bio hybrid systems in the brain (brain doping), can create unprecedented possibilities for probing and controlling the biological computer and in future, help us transcend beyond our biological limitations.
[1] D. Sarkar et. al., Nature, 526 (7571), 91, 2015;
[2] D. Sarkar et. al., Nano Lett., 15 (5), 2852, 2015;
[3] D. Sarkar et. al., ACS Nano., 8 (4), 3992, 2014;
[4] D. Sarkar et. al., Society for Neuroscience, 2016.
[5] D. Sarkar et. al., International Conference on Nanoscopy, 2018.
Biography: Deblina Sarkar is currently an MIT Translational Fellow and postdoctoral associate in the Synthetic Neurobiology group, while she had received her M.S. and Ph.D. in Electrical and Computer Engineering at UCSB. Her research aims to combine novel materials, nanoelectronics and synthetic biology to create a new paradigm for computational electronics and invent disruptive technologies for life-machine symbiosis.
Her work has led to more than 40 publications till date (citations: 1927, h-index: 18, i-10 index: 26 according to Google Scholar), several of which have appeared in popular press worldwide. Her PhD dissertation was honored as one of the top 3 dissertations throughout USA and Canada in the field of Mathematics, Physical sciences and all departments of Engineering by the Council of Graduate Schools in the period 2014-2016. She was UCSB's nominee for this nationwide contest, after winning the Lancaster Award for the best PhD Dissertation at UCSB in 2016. She is the recipient of numerous other awards and recognitions, including the U.S. Presidential Fellowship (2008), Outstanding Doctoral Candidate Fellowship (2008), being one of three researchers worldwide to win the prestigious IEEE EDS PhD Fellowship Award (2011), a "Bright Mind" invited speaker at the KAUST-NSF conference (2015), one of three winners of the Falling Walls Lab Young Innovator's Award at San Diego (2015), recipient of "Materials Research Society's Graduate Student Award" (2015), named a "Rising Star" in Electrical Engineering and Computer Science (2015), invited speaker at TEDx (2016) and recipient of MIT Translational Fellowship (2017).
Host: EE-Electrophysics
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 132
Audiences: Everyone Is Invited
Contact: Marilyn Poplawski